There are about 20k pieces photo, and the resolution is 1024*1024. How can I train network? An AssertionError:assert isinstance(lambd, types.LambdaType). What is the process if I use my own dataset?
@Yugt4732 could you paste the full error trace?
Here's the error I met.
Traceback (most recent call last):
File "/home/momobot/anaconda3/envs/train/bin/stylegan2_pytorch", line 8, in
sys.exit(main())
File "/home/momobot/anaconda3/envs/train/lib/python3.6/site-packages/stylegan2_pytorch/cli.py", line 157, in main
fire.Fire(train_from_folder)
File "/home/momobot/anaconda3/envs/train/lib/python3.6/site-packages/fire/core.py", line 138, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/home/momobot/anaconda3/envs/train/lib/python3.6/site-packages/fire/core.py", line 468, in _Fire
target=component.name)
File "/home/momobot/anaconda3/envs/train/lib/python3.6/site-packages/fire/core.py", line 672, in _CallAndUpdateTrace
component = fn(*varargs, **kwargs)
File "/home/momobot/anaconda3/envs/train/lib/python3.6/site-packages/stylegan2_pytorch/cli.py", line 148, in train_from_folder
run_training(0, 1, model_args, data, load_from, new, num_train_steps, name)
File "/home/momobot/anaconda3/envs/train/lib/python3.6/site-packages/stylegan2_pytorch/cli.py", line 56, in run_training
model.set_data_src(data)
File "/home/momobot/anaconda3/envs/train/lib/python3.6/site-packages/stylegan2_pytorch/stylegan2_pytorch.py", line 757, in set_data_src
self.dataset = Dataset(folder, self.image_size, transparent = self.transparent, aug_prob = self.dataset_aug_prob)
File "/home/momobot/anaconda3/envs/train/lib/python3.6/site-packages/stylegan2_pytorch/stylegan2_pytorch.py", line 281, in init
transforms.Lambda(partial(resize_to_minimum_size, image_size)),
File "/home/momobot/anaconda3/envs/train/lib/python3.6/site-packages/torchvision/transforms/transforms.py", line 279, in init
assert isinstance(lambd, types.LambdaType)
AssertionError
Maybe you can check if you have PNG files between the JPG, or maybe some of the images are corrupted.
Did you curated the dataset?